期刊
PLANT AND SOIL
卷 438, 期 1-2, 页码 377-391出版社
SPRINGER
DOI: 10.1007/s11104-019-04009-w
关键词
Decomposition; Functional diversity; Plant functional traits; Litter bags; Mass loss; Ozark oak-Hickory forest; Tyson research center plot
资金
- International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis
- National Science Foundation [DEB 1144084, DEB 1256788, DEB 1557094]
- Smithsonian Center for Tropical Forest Science-Forest Global Earth Observatory (CTFS-ForestGEO) Grants Program
- Tyson Research Center
AimsIt has been well demonstrated that several interacting endogenous and exogenous factors influence decomposition. However, teasing apart the direct and indirect effects of these factors to predict decomposition patterns in heterogenous landscapes remains a key challenge.MethodsAt 157 locations in a temperate forest, we measured decomposition of a standard substrate (filter paper) over two years, the landscape context in which decomposition took place, and the functional composition of the woody species that contributed leaf litter to the forest floor where litter bags were placed. We tested for direct and indirect effects of landscape context and direct effects of forest functional composition on decay using structural equation modelling.ResultsWe found that landscape context had direct effects on decay and indirect effects on decay via its influence on the functional composition of the surrounding forest. Forest functional composition also had direct effects on decay, but these effects decreased or disappeared completely over time. Moreover, community weighted mean trait values were better predictors of decay than functional dispersion of leaf traits, and leaf nitrogen content and carbon content were better predictors of decay than leaf dry matter content or leaf toughness.ConclusionsOur results highlight the importance of an integrative approach that examines the direct and indirect effects of multiple factors for understanding and predicting decomposition patterns across heterogenous landscapes.
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